Senior AI Engineer

We are looking for a Senior AI Engineer to design, build and scale our next-generation AI and Large Language Model (LLM) applications. In this role, you will lead the technical development of advanced AI workflows, work directly with clients to turn their ideas into reality and help mentor our growing team.

Responsibilities

• Architect and implement scalable AI applications, including chatbots, search platforms and autonomous agent workflows
• Collaborate directly with business stakeholders to understand their challenges and recommend smart, LLM-driven solutions
• Creation of data pipelines, design of smart prompt strategies and development of testing frameworks to ensure AI models are safe, accurate and cost-effective
• Establish coding standards, perform code reviews and mentor junior developers in AI best practices
• Run quick experiments and build prototypes to test new models
• Stay ahead of the curve with emerging AI research and tools

Requirements

• 3+ years of proven background as a Senior Software Engineer delivering production-grade AI, Machine Learning or LLM-based solutions
• Proficiency in Python (especially web frameworks like FastAPI) and understanding of NLP concepts (semantic similarity, tokenization, text classification)
• Hands-on expertise in modern AI patterns, particularly RAG (Retrieval-Augmented Generation) and AI Agents
• Familiarity with major LLM APIs (OpenAI, Anthropic, Bedrock) and framework tools (LangGraph, LlamaIndex)
• Background in deploying AI applications at scale, managing cloud costs and evaluating model quality (retrieval metrics, LLM-based evaluation)
• Capability to quickly spin up user interfaces using Streamlit, Gradio or similar tools
• Skills in explaining complex technical ideas clearly to both developer teams and non-technical clients
• English proficiency at B2 level or higher

Nice to have

• Development experience with TypeScript
• Experience incorporating AI into the SDLC (GitHub Copilot, Cursor)
• Expertise in AWS or Azure (specifically Azure OpenAI or AWS Bedrock)
• Familiarity with Databricks (MLflow, AgentBricks) for data or model workflows
• Knowledge of advanced search/retrieval systems (vector databases, semantic search, rerankers)
• Understanding of emerging open-source protocols (Model Context Protocol - MCP) or LLM monitoring tools (LangSmith, Arize Phoenix)

We offer

• CONTINUOUS UPSKILLING, LEARNING \& DEVELOPMENT
  • Diversity of assignments and projects
  • Personal development plan
  • Mentoring programs and leadership development
  • Certification and professional development support
  • Access to learning platforms including more than 2,500 internal courses and the Eurostaffs Learning library with 20,000+ courses
  • English courses taught by certified teachers
• CORPORATE BENEFITS
  • Extra leave days
  • Referral bonuses
• COMPENSATION PACKAGE
  • Competitive compensation paid in USD
  • Regular salary and performance reviews
• MEDICAL \& HEALTHCARE
  • Private health insurance
• WORKING ENVIRONMENT
  • Recreation office zones with tea, coffee and snacks
  • Sports and game consoles
  • IT equipment and Microsoft's Software Assurance Home Use Program (HUP)

Please note that our Talent Attraction Team reviews applications and CVs submitted in English.

EPAM is a global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. We deliver globally and engage locally, making the future real for clients, partners, and employees. We are proud to be recognised by Forbes, Eurostaffs, Newsweek, Time Magazine, Great Place to Work and kununu as a Most Loved Workplace around the world.